Advances in Functional Brain Imaging: A Comprehensive Survey for Engineers and Physical Scientists.

Sarraf, Saman; Sun, Jian

doi:10.21474/ijar01/1259

Cited by 9 publications

(7 citation statements)

References 28 publications

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“…Often one neuroimaging technique can only monitor the brain activity in constrained frequency range at specific monitor region and depth. To increase the imaging ability, applying multimodal neuroimaging system to increase the temporal and spatial resolution becomes a trend [ 106 , 107 , 108 , 109 ]. Widely used neuroimaging techniques are functional MRI (fMRI), positron emission tomography (PET), CT, magnetoencephalography (MEG), TCD, photoacoustic, fNIRS and EEG [ 110 ].…”

Section: Perspectives Of Stroke Predictionmentioning

confidence: 99%

Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction

Chen

2021

Sensors

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We review in this paper the wearable-based technologies intended for real-time monitoring of stroke-related physiological parameters. These measurements are undertaken to prevent death and disability due to stroke. We compare the various characteristics, such as weight, accessibility, frequency of use, data continuity, and response time of these wearables. It was found that the most user-friendly wearables can have limitations in reporting high-precision prediction outcomes. Therefore, we report also the trend of integrating these wearables into the internet of things (IoT) and combining electronic health records (EHRs) and machine learning (ML) algorithms to establish a stroke risk prediction system. Due to different characteristics, such as accessibility, time, and spatial resolution of various wearable-based technologies, strategies of applying different types of wearables to maximize the efficacy of stroke risk prediction are also reported. In addition, based on the various applications of multimodal electroencephalography–functional near-infrared spectroscopy (EEG–fNIRS) on stroke patients, the perspective of using this technique to improve the prediction performance is elaborated. Expected prediction has to be dynamically delivered with high-precision outcomes. There is a need for stroke risk stratification and management to reduce the resulting social and economic burden.

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Section: Perspectives Of Stroke Predictionmentioning

confidence: 99%

Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction

Chen

2021

Sensors

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“…List of all publications and their full-text related to this research could be accessed from Google Scholar page [34] or author's homepage [35,36]. There is also a continuous research for Alzheimer's Disease detection [37,38,39,40,41] using Deep Learning approach that author is involved.…”

Section: Research Publicationsmentioning

confidence: 99%

Engagement Detection Framework for Hand Gesture and Posture Recognition

Toghi¹

2021

Preprint

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“…Reassigned nodes in older adults were considered to be part of the network as they appear in (A) (e.g., nodes C02, C08, C09, C12 and C15 were included in the DAN for the calculations seen in [B]). Abbreviations: DAN, dorsal attention network; DMN, default mode network [6] [16] [1]. from compromise of the callosum's capacity to inhibit participation of the hemisphere less suited to accomplish a task.…”

Section: White Matter Systems and Age-related Decline In Frontally Ba...mentioning

confidence: 99%

Diffusion and Perfusion Magnetic Resonance Imaging:Fundamentals and Advances

Assili

2016

Preprint

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Over the past few decades, magnetic resonance imaging has been utilized as a powerful imaging modality to evaluate the structure and function of various organs in the human body, such as the brain. Additionally, diffusion and perfusion MR imaging have been increasingly used in neurovascular clinical applications. In diffusion weighted magnetic resonance imaging, the mobility of water molecules is explored in order to obtain information about the microscopic behaviour of the tissues. In contrast, perfusion weighted imaging uses tracers to exploit hemodynamic status, which enables researchers and clinicians to consider this imaging modality as an early biomarker of certain brain diseases. In this review, the fundamentals of physics for diffusion and perfusion MR imaging -both of which are highly sensitive to microenvironmental alterations at the cellular level -as well as their application in the treatment of aging, Alzheimer's disease, brain tumors and cerebral ischemic injury were discussed.

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Advances in Functional Brain Imaging: A Comprehensive Survey for Engineers and Physical Scientists.

Cited by 9 publications

References 28 publications

Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction

Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction

Engagement Detection Framework for Hand Gesture and Posture Recognition

Diffusion and Perfusion Magnetic Resonance Imaging:Fundamentals and Advances

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